Multi-agent orchestration. Proof-of-concept validation. Audit-ready output. The engine behind continuous, human-grade pentesting at machine speed.
Security tools flood teams with noise: more alerts, more triage, more wasted cycles. Fleuret operates on a different principle. AI agents explore attack paths creatively, but findings only surface when exploitability is confirmed through controlled validation. If a finding can't be proven with a PoC, it doesn't reach your report.
Fleuret doesn't follow a checklist. Émile coordinates dozens of specialist agents, each focused on a specific attack vector. They probe, adapt, and report back. Every finding is validated before it reaches your team.
Start a pentest in clicks or via API. Set targets, authentication context, and compliance framework. Émile takes it from there.
Automated reconnaissance discovers every exposed endpoint, subdomain, and entry point. The Coverage Graph begins tracking what needs testing.
Specialist agents run real attacks in parallel: auth bypass, injection chains, business logic flaws, privilege escalation. Each agent scoped to one technique, retired after its mission.
Every finding confirmed through a controlled, non-destructive proof-of-concept. Result: audit-ready PDF with DORA and NIS2 mapping, zero false positives.
Émile is a coordinated system of specialist agents, deterministic validators, and compliance-native reporting. Designed for production environments at scale.
The supervisor that maintains a global view of the engagement, tracks the Coverage Graph, and directs agents to untested surfaces. Applies deterministic logic to prioritize attack paths and decide when a pentest is complete.
Short-lived, focused agents that each target a specific attack vector: authentication, injection, IDOR, business logic. They operate in parallel and are retired after their mission to prevent accumulated bias.
Confirms whether a discovered issue is truly exploitable using controlled, production-safe challenges. Reduces false positives to zero by enforcing proof before any finding enters the report.
Tracks which endpoints, parameters, and auth contexts have been tested. The system of record for "is this pentest complete." Converts directly to exhaustiveness scores in the audit PDF.
Generates audit-ready output mapped to DORA, NIS2, ISO 27001, and SOC 2. PDF with reproducible PoCs, business impact, prioritized remediation, and offline verification.
7 CRITERIA · 3 PROVIDERS
FLEURET WINS 4 / 7
NOT A FIRM
Consulting firmTHE PLATFORM
FleuretNOT A SCANNER
Legacy scannerDepth
Depth
Depth
False positives
False positives
False positives
Speed
Speed
Speed
Cost
Cost
Cost
Frequency
Frequency
Frequency
Audit-grade report
Audit-grade report
Audit-grade report
Adaptability
Adaptability
Adaptability
Three design decisions that separate Fleuret from every other tool claiming AI security testing.
Dozens of focused agents, each starting fresh with a scoped objective. No accumulated bias. No context collapse. When one agent finishes, another picks up the next attack vector.
Findings ship with the actual, reproducible exploit as evidence. If it can't be proven, it doesn't reach your report. Zero false positives is a design decision, not a target.
Scaleway France hosting. Open-weight models. Customer data never leaves Europe. Swap models when the frontier moves: the value is in the orchestration, not the model.
Fleuret runs against live systems. Three guarantees make that safe: nothing gets broken, everything is logged, every finding maps to a regulation your auditor recognizes.
Exploit validation uses controlled challenges that confirm exploitability without modifying data or disrupting systems. Your production stays untouched.
Every agent action is logged: who, what, when, from where. The audit trail ships with the PDF. Your compliance team can trace every finding to its source.
Report format maps directly to regulatory pentest requirements. Ed25519-signed PDF for offline verification. Board-deck export for quarterly risk reviews.
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